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This study aims to measure the effect of the preventive policies on public during the COVID-19 pandemic as well as measuring the public's trust in the government. The study examines the determinants of public trust in governments and the associations between the preventive measures. It is also aimed to determine the protective measures that governments prefer to implement together by using association rules of data mining algorithms. By this means, double and triple action packages are presented. This study finds that basic characteristics such as education, health, and age are among the most basic determinants of trust in governments during the pandemic. The trust in government and opinions that measures taken are sufficient decreased as the education level increased. Considering the age criteria, this situation is the opposite. It is observed that women followed the preventative policies more strictly than men. It is also observed that public trust in governments is directly proportional to the development levels of countries. |
